Abstract: Embodiments of the present disclosure provide a method and a smart gas Internet of Things (IoT) system for remote control of an ultrasonic metering device. The method is implemented based on a smart gas device management platform of the IoT system and comprises: obtaining metering data of at least one ultrasonic metering device; determining any one of the at least one ultrasonic metering device as a current metering device; determining an accuracy of the current metering device through verifying the current metering device based on metering data of the current metering device and metering data of a related metering device; and sending an adjustment instruction to a target metering device based on the accuracy of at least one current metering device corresponding to the at least one ultrasonic metering device.

Abstract: The present disclosure provides a method for determining a gas pipeline network opening scheme based on smart gas, which is performed by a smart gas management platform. The smart gas management platform comprises a smart user service management sub-platform, a smart operation management sub-platform and a smart gas data center. The method comprises: obtaining, by the smart gas data center, a region feature of each region within a target range through a smart gas sensing network platform; determining, by the smart operation management sub-platform, a gas demand degree of the each region based on the region feature of the each region; determining, by the smart operation management sub-platform, a region as a first-class region based on the gas demand degree in the region meeting a preset condition, and determining the gas pipeline network opening scheme for the region.

Abstract: An Industrial Internet of Things system for managing a production task is provided. The system comprises a user platform, a service platform, a management platform, a sensor network platform interacted sequentially. The service platform is configured to receive a modification instruction of a user. The management platform is configured to obtain raw material data and reference material data; determine target reference material data whose matching relationship satisfies a preset condition, and take reference process parameters corresponding to the target reference material data as first candidate process parameters; determining second candidate process parameters through processing the first candidate process parameters; and determine target process parameters based on cost values corresponding to the second candidate process parameters; and determine a modification plan.

Abstract: The embodiments of the present disclosure provide methods, Internet of Things systems, and storage mediums for management of pipeline network inspection based on a smart gas geographic information system (GIS). The method is implemented by a smart gas pipeline network safety management platform of an Internet of Things system for management of pipeline network inspection based on the smart gas GIS, and the method comprises: obtaining inspection features of at least one inspection unit in a gas pipeline network based on the smart gas GIS; determining at least one gas inspection area by dividing a gas pipeline network map of the smart gas GIS based on the inspection features; determining an inspection result by performing an inspection based on the at least one gas inspection area; and updating the at least one gas inspection area based on the inspection result.

Abstract: The embodiments of the present disclosure provide a method for obtaining a natural gas energy metering component, including obtaining a temperature and pressure of a natural gas sample to be detected at a first site based on an object platform; obtaining sample data of a natural gas sample at a second site based on the object platform, the sample data including a natural gas component and a temperature and pressure of the natural gas component; obtaining sample data of a natural gas sample at the first site based on the object platform; determining a natural gas component of the natural gas sample to be detected at the first site based on sample data at the first site and the second site aggregated by a sensor network platform and the temperature and pressure of the natural gas sample to be detected at the first site.

Abstract: The embodiments of the present disclosure provide a method for troubleshooting potential safety hazards of a compressor in a smart gas pipeline network and an Internet of Things system thereof. The method comprises: performing a purification process on sound data of a gas compressor, and determining a target sound feature; establishing a feature data vector library based on networked data and reference device data; determining a current gas data vector and a current device data vector based on gas data and device data, respectively; searching the feature data vector library based on the current gas data vector and the current device data vector, and determining a reference sound feature and a reference vibration feature that meet a preset condition as a standard sound feature and a standard vibration feature; and predicting whether there is a safety hazard in the gas compressor using a hazard model.

Abstract: The present disclosure provides a method for noise control based on a smart gas platform, wherein the method is executed by a smart gas safety management platform of an Internet of Things (IoT) system for noise control based on the smart gas platform, comprising: obtaining noise data of a gas field station through a sound sensor, the sound sensor being arranged at least one monitoring position of the gas field station, and any one monitoring position having a corresponding monitoring period; determining noise change features of the at least one monitoring position based on the noise data; and determining target operating parameters of the gas field station based on the noise change features, the target operating parameters including a target gas flow rate of a gas pipeline in the gas field station.

Abstract: An Industrial Internet of Things system, a control method and storage medium for monitoring sheet workpiece production are provided.

Abstract: A method, an Internet of Things system, and a medium for smart gas maintenance management order dispatch warning are provided. The method comprises: assigning a gas work order to an order receiver in response to an assignment module, and determining an warning characteristic of the gas work order; wherein, determining the warning characteristic of the gas work order comprise: based on the fault location characteristic of the gas work order, determining the traffic warning value through the traffic warning value determination module; determining the fault warning value based on the gas fault characteristic of the gas work order through the fault warning value determination module; in response to the warning monitoring module monitoring that the warning characteristic meet the preset condition, providing a warning to the order receiver by the warning module.

Abstract: The present disclosure provides use of Clostridium ghonii combined with a tumor angiogenesis inhibitor in preparing a pharmaceutical product for treating a tumor. The present disclosure further provides a drug for treating a tumor, where the drug includes active ingredients of Clostridium ghonii and a tumor angiogenesis inhibitor.

Abstract: The embodiments of the present disclosure provide methods and systems for energy measuring based on natural gas data of a smart gas meter, including establishing the gas IoT. The object platform obtains consumed gas volume data and location data of the smart gas meter as first data and second data, and sending them to the management platform through the sensor network platform. The management platform generates consumed gas preprocessing data based on the first data and the second data, and generates energy measurement data after performing the computation outside the gas IoT on the consumed gas preprocessing data by the cloud platform outside the gas IoT. The management platform sends the energy measurement data to the user platform configured in a regional pipeline network center through the service platform. The user platform performs gas energy measurement of the smart gas meter based on the energy measurement data.

Abstract: A method for managing energy-saving early warning of a smart gas flowmeter is provided. The method is executed by a smart gas management platform. The method comprises obtaining a remaining power of the smart gas flowmeter, determining a confidence level of the remaining power based on at least environmental data, determining a calibrated power by calibrating the remaining power based on the confidence level, determining whether to issue a power alert to a gas user based on the calibrated power, operation data of the smart gas flowmeter, and at least one reference correspondence. The reference correspondence represents a relationship between an operation behavior of the smart gas flowmeter and a power consumption. The method also comprises generating an energy-saving management and operation scheme of the smart gas flowmeter in response to a determination that the power alert is issued to the gas user.

Abstract: Embodiments of the present disclosure provide a method and an Internet of Things (IoT) system for managing smart gas safety based on user activity. The method includes obtaining gas data of a gas user, determining, based on the gas data, a gas risk for the gas user, and determining at least one target on-site user based on the gas risk. The method further includes determining, based on at least the gas data of the target on-site user, an activity distribution of the at least one target on-site user, and based on the activity distribution, determining a recommended on-site time set and sending the recommended on-site time set to the at least one target on-site user.

Abstract: The present disclosure provides an Industrial Internet of Things system for intelligent repair of manufacturing equipment and a control method. The Industrial Internet of Things system includes a management platform, a sensor network platform, and an object platform interacting in sequence. The object platform is configured as a plurality of manufacturing equipment arranged in sequence according to a process sequence on the assembly line. The management platform is configured to issue self-repair instructions and failure handling instructions corresponding to the intelligent repair method to the corresponding manufacturing equipment through the sensor network platform, so as to realize the automatic repair of manufacturing equipment, reduce the cost of manual troubleshooting, and ensure the normal production and manufacturing of the assembly line.

Abstract: The embodiments of the present disclosure provide method and Internet of Things (IoT) systems for predicting maintenance materials of a smart gas pipeline network. The method may be implemented based on a smart gas safety management platform of an Internet of Things (IoT) system for predicting maintenance materials of a smart gas pipeline network. The method may comprise: obtaining a pipeline network feature of a gas pipeline network; predicting fault probabilities of one or more point positions of the gas pipeline network based on the pipeline network feature, the fault probabilities including probabilities of one or more preset fault types of faults occurring at the point positions; and determining demand for the maintenance materials based on the fault probabilities of the one or more point positions.

Abstract: The present disclosure provides a method and a system for regulating pipeline network maintenance based on a smart gas Internet of Things (IoT). The method includes obtaining gas data of at least one faulty pipeline, generating at least one set of candidate maintenance schemes based on the at least one faulty pipeline, determining a recommended maintenance approach for the at least one faulty pipeline based on the at least one set of candidate maintenance schemes and the gas data, determining a set of monitoring point locations based on the recommended maintenance approach, and determining a regulation parameter of a regulation device based on monitoring data of the set of monitoring point locations. The system includes a smart gas user platform, a smart gas service platform, a smart gas safety management platform, a smart gas sensing network platform, and a smart gas object platform interacting in sequence.

Abstract: The present invention relates to the technical field of mine fire prevention and extinguishing, in particular to a liquid nitrogen direct injection and low-temperature foaming intelligent filling system based on mine fire area characteristics and an application method, comprising a liquid nitrogen storage tank, a liquid nitrogen direct injection system and a low-temperature foaming system, wherein the liquid nitrogen storage tank communicates with a liquid nitrogen pressurizing device through a main pipeline; a temperature control unit is arranged on the main pipeline; and the liquid nitrogen pressurizing device is connected with the liquid nitrogen direct injection system and the low-temperature foaming system, respectively, liquid nitrogen is directly injected into a foam liquid, to prepare a low-temperature foam type fire preventing and extinguishing material by means of forced convection, membrane boiling, explosion boiling and nucleate boiling between the liquid nitrogen and water.

Abstract: The embodiment of the present disclosure provides a method and an Internet of Things (IoT) system for safety management of a smart gas underground gas pipeline network. The method is implemented by a smart gas safety management platform and includes: obtaining basic monitoring information of at least one pipeline network partition collected by distributed monitoring components arranged at a plurality of monitoring points; determining at least one key monitoring point and monitoring content of the at least one key monitoring point; determining an inspection plan and a performance allocation plan for the smart gas safety management platform; adjusting the preset monitoring frequency of the distributed monitoring components located at different key monitoring points and at areas surrounding the different key monitoring points; and generating an alarm message to be sent to a user terminal based on an inspection result of the inspection robot.

Abstract: The present disclosure relates to use of a Clostridium ghonii spore combined with pembrolizumab in cancer treatment. It is found for the first time that the Clostridium ghonii spore combined with pembrolizumab can significantly improve a curative effect of colon cancer and reduce a dose of the pembrolizumab, and thus is efficient and low-toxic. Oncolysis by Clostridium ghonii can affect immunogenicity of a tumor microenvironment (TME) by various ways, converts an immunosuppressive state of the TME into an immune-activated state, adjusts the immunosuppressive TME, and breaks an immune tolerance. An optimal combination of the Clostridium ghonii spore and the pembrolizumab thoroughly removes about 20% of mouse tumor tissues. A benefit range of patients with tumors treated by a PD-1 antibody is expanded. The combination even has an obvious curative effect on patients failed the treatment by the PD-1 antibody.

Abstract: An industrial internet of things system for intelligent production control is provided, comprising: a user platform, a service platform, a management platform, a sensor network platform, and an object platform. The user platform modifies production line parameters based on an instruction of the user, generates a first instruction, and sends it to the management platform through the transformation of the service platform. The object platform collects production link data of each production link of products and transmits it to the management platform. The management platform modifies work order parameters based on a second instruction transformed by the service platform, generates a third instruction, and determines whether devices corresponding to the plurality of production links are abnormal based on the production link data.